Uncategorized

Microsoft Azure Cloud Services, Uncategorized

Advancing Azure service quality with artificial intelligence: AIOps

We are going to share our vision on the importance of infusing AI into our cloud platform and DevOps process. Gartner referred to something similar as AIOps (pronounced “AI Ops”) and this has become the common term that we use internally, albeit with a larger scope. Today’s post is just the start, as we intend to provide regular updates to share our adoption stories of using AI technologies to support how we build and operate Azure at scale.

Why AIOps?

There are two unique characteristics of cloud services:

  • The ever-increasing scale and complexity of the cloud platform and systems
  • The ever-changing needs of customers, partners, and their workloads

To build and operate reliable cloud services during this constant state of flux, and to do so as efficiently and effectively as possible, our cloud engineers (including thousands of Azure developers, operations engineers, customer support engineers, and program managers) heavily rely on data to make decisions and take actions. Furthermore, many of these decisions and actions need to be executed automatically as an integral part of our cloud services or our DevOps processes. Streamlining the path from data to decisions to actions involves identifying patterns in the data, reasoning, and making predictions based on historical data, then recommending or even taking actions based on the insights derived from all that underlying data.

 Infusing AI into cloud platform and DevOps – with AI at the center of Customers, Engineering, and Services.
Figure 1. Infusing AI into cloud platform and DevOps.

The AIOps vision

AIOps has started to transform the cloud business by improving service quality and customer experience at scale while boosting engineers’ productivity with intelligent tools, driving continuous cost optimization, and ultimately improving the reliability, performance, and efficiency of the platform itself. When we invest in advancing AIOps and related technologies, we see this ultimately provides value in several ways:

  • Higher service quality and efficiency: Cloud services will have built-in capabilities of self-monitoring, self-adapting, and self-healing, all with minimal human intervention. Platform-level automation powered by such intelligence will improve service quality (including reliability, and availability, and performance), and service efficiency to deliver the best possible customer experience.
  • Higher DevOps productivity: With the automation power of AI and ML, engineers are released from the toil of investigating repeated issues, manually operating and supporting their services, and can instead focus on solving new problems, building new functionality, and work that more directly impacts the customer and partner experience. In practice, AIOps empowers developers and engineers with insights to avoid looking at raw data, thereby improving engineer productivity.
  • Higher customer satisfaction: AIOps solutions play a critical role in enabling customers to use, maintain, and troubleshoot their workloads on top of our cloud services as easily as possible. We endeavor to use AIOps to understand customer needs better, in some cases to identify potential pain points and proactively reach out as needed. Data-driven insights into customer workload behavior could flag when Microsoft or the customer needs to take action to prevent issues or apply workarounds. Ultimately, the goal is to improve satisfaction by quickly identifying, mitigating, and fixing issues.

 

AI for Cloud: AI Ops and AI-Serving Platform showing example use cases in AI for Systems, AI for DevOps, and AI for Customers.

Figure 2. AI for Cloud: AIOps and AI-Serving Platform.

AIOps

Moving beyond our vision, we wanted to start by briefly summarizing our general methodology for building AIOps solutions. A solution in this space always starts with data—measurements of systems, customers, and processes—as the key of any AIOps solution is distilling insights about system behavior, customer behaviors, and DevOps artifacts and processes. The insights could include identifying a problem that is happening now (detect), why it’s happening (diagnose), what will happen in the future (predict), and how to improve (optimize, adjust, and mitigate). Such insights should always be associated with business metrics—customer satisfaction, system quality, and DevOps productivity—and drive actions in line with prioritization determined by the business impact. The actions will also be fed back into the system and process. This feedback could be fully automated (infused into the system) or with humans in the loop (infused into the DevOps process). This overall methodology guided us to build AIOps solutions in three pillars.

AIOps methodologies: Data (Customer/System/DevOps), insights (Detect/Diagnose/Predict/Optimize), and actions (Mitigate/Avert future pain/Optimize usage config/Improve architecture & process).
Figure 3. AIOps methodologies: Data, insights, and actions.

AI for systems

Today, we’re introducing several AIOps solutions that are already in use and supporting Azure behind the scenes. The goal is to automate system management to reduce human intervention. As a result, this helps to reduce operational costs, improve system efficiency, and increase customer satisfaction. These solutions have already contributed significantly to the Azure platform availability improvements, especially for Azure IaaS virtual machines (VMs). AIOps solutions contributed in several ways including protecting customers’ workload from host failures through hardware failure prediction and proactive actions like live migration and Project Tardigrade and pre-provisioning VMs to shorten VM creation time.

Of course, engineering improvements and ongoing system innovation also play important roles in the continuous improvement of platform reliability.

  • Hardware Failure Prediction is to protect cloud customers from interruptions caused by hardware failures.  Microsoft Research and Azure have built a disk failure prediction solution for Azure Compute, triggering the live migration of customer VMs from predicted-to-fail nodes to healthy nodes. We also expanded the prediction to other types of hardware issues including memory and networking router failures. This enables us to perform predictive maintenance for better availability.
  • Pre-Provisioning Service in Azure brings VM deployment reliability and latency benefits by creating pre-provisioned VMs. Pre-provisioned VMs are pre-created and partially configured VMs ahead of customer requests for VMs. As we described in the IJCAI 2020 publication, As we described in the AAAI-20 keynote mentioned above,  the Pre-Provisioning Service leverages a prediction engine to predict VM configurations and the number of VMs per configuration to pre-create. This prediction engine applies dynamic models that are trained based on historical and current deployment behaviors and predicts future deployments. Pre-Provisioning Service uses this prediction to create and manage VM pools per VM configuration. Pre-Provisioning Service resizes the pool of VMs by destroying or adding VMs as prescribed by the latest predictions. Once a VM matching the customer’s request is identified, the VM is assigned from the pre-created pool to the customer’s subscription.

AI for DevOps

AI can boost engineering productivity and help in shipping high-quality services with speed. Below are a few examples of AI for DevOps solutions.

  • Incident management is an important aspect of cloud service management—identifying and mitigating rare but inevitable platform outages. A typical incident management procedure consists of multiple stages including detection, engagement, and mitigation stages. Time spent in each stage is used as a Key Performance Indicator (KPI) to measure and drive rapid issue resolution. KPIs include time to detect (TTD), time to engage (TTE), and time to mitigate (TTM).

 Incident management procedures including Time to Detect (TTD), Time to Engage (TTE), and Time to Mitigate (TTM).
Figure 4. Incident management procedures.

As shared in AIOps Innovations in Incident Management for Cloud Services at the AAAI-20 conference, we have developed AI-based solutions that enable engineers not only to detect issues early but also to identify the right team(s) to engage and therefore mitigate as quickly as possible. Tight integration into the platform enables end-to-end touchless mitigation for some scenarios, which considerably reduces customer impact and therefore improves the overall customer experience.

  • Anomaly Detection provides an end-to-end monitoring and anomaly detection solution for Azure IaaS. The detection solution targets a broad spectrum of anomaly patterns that includes not only generic patterns defined by thresholds, but also patterns which are typically more difficult to detect such as leaking patterns (for example, memory leaks) and emerging patterns (not a spike, but increasing with fluctuations over a longer term). Insights generated by the anomaly detection solutions are injected into the existing Azure DevOps platform and processes, for example, alerting through the telemetry platform, incident management platform, and, in some cases, triggering automated communications to impacted customers. This helps us detect issues as early as possible.

For an example that has already made its way into a customer-facing feature, Dynamic Threshold is an ML-based anomaly detection model. It is a feature of Azure Monitor used through the Azure portal or through the ARM API. Dynamic Threshold allows users to tune their detection sensitivity, including specifying how many violation points will trigger a monitoring alert.

  • Safe Deployment serves as an intelligent global “watchdog” for the safe rollout of Azure infrastructure components. We built a system, code name Gandalf, that analyzes temporal and spatial correlation to capture latent issues that happened hours or even days after the rollout. This helps to identify suspicious rollouts (during a sea of ongoing rollouts), which is common for Azure scenarios, and helps prevent the issue propagating and therefore prevents impact to additional customers.

AI for customers

To improve the Azure customer experience, we have been developing AI solutions to power the full lifecycle of customer management. For example, a decision support system has been developed to guide customers towards the best selection of support resources by leveraging the customer’s service selection and verbatim summary of the problem experienced. This helps shorten the time it takes to get customers and partners the right guidance and support that they need.

AI-serving platform

To achieve greater efficiencies in managing a global-scale cloud, we have been investing in building systems that support using AI to optimize cloud resource usage and therefore the customer experience. One example is Resource Central (RC), an AI-serving platform for Azure that we described in Communications of the ACM. It collects telemetry from Azure containers and servers, learns from their prior behaviors, and, when requested, produces predictions of their future behaviors. We are already using RC to predict many characteristics of Azure Compute workloads accurately, including resource procurement and allocation, all of which helps to improve system performance and efficiency.

Looking towards the future

We have shared our vision of AI infusion into the Azure platform and our DevOps processes and highlighted several solutions that are already in use to improve service quality across a range of areas. Look to us to share more details of our internal AI and ML solutions for even more intelligent cloud management in the future. We’re confident that these are the right investment solutions to improve our effectiveness and efficiency as a cloud provider, including improving the reliability and performance of the Azure platform itself.

 

Note blog reference: https://azure.microsoft.com/en-in/blog/advancing-azure-service-quality-with-artificial-intelligence-aiops/

Uncategorized

Is your business ready to take supply chain management to the next level?

When you lack deep visibility and insight into your supply chain, you leave money on the table

It turns out what you don’t know as a manufacturer can and will hurt you. For too long, manufacturers have settled for siloed and inconsistent information, as well as manual processes, to understand and manage their supply chain. Why? Because for a long time, these systems were good enough to keep production going.

But plenty of manufacturers don’t want to settle for good enough. IDC predicts that by 2019, 50% of manufacturing supply chains will have benefited from digital transformation, and the remainder will be held back by outdated business models or functional structures. Smart manufacturers understand that supply chain transformation is necessary. They are connecting assets across their factories, gaining visibility into their supply chain, and acting on insights from increased visibility to address inefficiency, as well as increase customer satisfaction and margins.

Don’t accept operational inefficiencies as a limit on your business

Supply chain management is complex, so doing it right requires a solution that simplifies and consolidates disparate information, while retaining flexibility. Data from the sales process, suppliers, order fulfillment, product performance, and customer service all matter for a full understanding of the supply chain. The core tools for accomplishing this fall into three categories: IoT-enabled visibility and services, powerful analytics, and cloud-delivered data visualizations.

Like many aspects of manufacturing, IoT is the starting point. The best way to lower production costs is by using a single IoT-friendly platform to integrate back and front office processes. Using IoT-based modeling to create digital twins, manufacturers can understand in real-time the amount of wear and tear on parts and adjust designs in response. This insight can help identify simple inefficiencies like sourcing a part from the company that’s always supplied it, rather than buying a similarly-performing part at a lower cost from another supplier.

Powerful analytics is the next step in transforming your supply chain. A truly intelligent system for supply chain management dynamically adjusts distribution, as well as production, to accelerate the speed of delivery. By using built-in analytics and machine learning, public data like weather conditions can be used to create richer, more accurate schedules and delivery forecasts. On top of that, opportunities to consolidate or expedite shipments can be automatically identified using artificial intelligence—passing lower shipping and order fulfillment costs on to customers.

Finally, consolidating all this information won’t completely optimize your supply chain without the ability to easily visualize and manage it. That’s why a real-time and mobile-delivered view is so crucial. Understanding how to solve problems is hard enough; there’s no need to complicate it further by using different systems to identify where problems are occurring. Decision makers on the factory floor or in global headquarters need instant access to relevant information, and the collaborative power to communicate with or work alongside employees anywhere in the world. These investments in operations put manufacturers in position to embrace new technology and adjust to whatever business challenges they may be facing.

Get the tools to transform with Microsoft Dynamics 365

The power of a supply chain management and operations platform that combines all these capabilities at cloud speed and scale is obvious. Companies positioned to digitally transform their supply chains will see accelerated time to market and reduced cost to enter new markets or scale new lines of business. Microsoft supports flexibility in deployment, enabling you to leverage existing investments while expanding with either a cloud or a hybrid model that includes both on-prem and cloud systems. That can shorten deployment from months to days and ensure security and analytics capabilities are consistent across every location and tuned appropriately for every team.

Microsoft Dynamics 365 ends the artificial separation of ERP and CRM and makes it easy for employees to collaborate and even role-switch to engage customers or address supply chain issues. Only Dynamics 365 unites the front office and the back office with a single end-to-end system for managing every aspect of your business, all backed by industry-leading enterprise cloud. That means manufacturers can develop at the pace and scale that’s right for them, while taking advantage of current investments such as existing productivity and technology stacks. With Microsoft, consistent development practices and R&D investments combine to offer manufacturers rich analytics, embedded intelligence, partner-created applications, and the ability to collaborate worldwide.

Uncategorized

Why Face Mask Detection System is Recommended for All Organisations

The world is struggling with Covid-19 pandemic and are so many essential equipments needed to combat against Corona virus. One of such most essential is Face Mask and mask was not mandatory for everyone but as the day surpasses scientist and Doctors have recommended everyone to wear the mask. Therefore to detect whether a person is wearing Face Mask or not, there are detection technique. Face Mask Detection Platform utilizes Artificial Network to identify if a person does/doesn’t wear a mask. The application can be associated with any current or new IP cameras to identify individuals with/without a mask.

Applications of Face Mask Detection System

There are several applications of face mask detection. Which includes the applications which are specific to Covid-19 and others are not related to Covid-19. So let us take a look at all the applications of Face Mask Detection.

1- Metro

We have seen in many metro station there is a huge crowd to onboard the train and people would eventually come nearby to each other to board the train, anyhow there will be more security around social distancing but people wearing mask will be most paramount one and to detect this we can use existing camera in trains and platform to take care of violators who is not wearing mask.

2- Airports

The Face Mask Detection System can be utilized at airports to recognize tourists/individual without veils. Face information of tourists can be caught in the system at the passageway. On the off chance that a tourist is seen as without a face cover, their image is sent to the airport authorities so they could make fast move. If the individual’s face is stored in the database, for example the face of any worker of an airport, an alert can be sent to the person’s phone directly.

3- Offices

The Face Mask Detection System can be utilized at office area to recognize if employees are keeping up safety standards at work. It screens employees without masks and sends them a suggestion to wear a cover. The reports can be downloaded or sent an email toward the day’s end to catch individuals who are
not consenting to the guidelines or the prerequisites

4- Educational Institutes

In educational institutes especially where the number of children is more, it is highly recommended to wear face mask for children. Now sometimes they throw away the masks and that’s very dangerous for them as it may tends to viral infection. So if we can use face mask detection in classrooms it will yield a great result.

So via this blog we have seen the different types of application of Face Mask Detection technique. Hope this will help us to understand the importance of wearing masks. We wish you all a good health and hope we will be able to a corona-free world sooner.

So to summarize, Trident Information systems Pvt Ltd’s Face Mask Detection System is going to be the leading technology in both retail and corporate sectors as well. In this scenario of Covid-19, a low investment Face Mask Detection it is here to stay for a long time. Also for Bank, Educational institute or for any other commercial, industrial or retail application of Face Mask Detection or any computer vision, do not hesitate to contact us.

Uncategorized

How Manufacturing Industry Transformed using Microsoft Dynamics 365

The future of manufacturing will be defined by the quality of investments companies are making today

In the not too distant past, efforts in manufacturing to optimize productivity and increase customer satisfaction were viewed as separate endeavors. Today, the convergence of physical and digital trends is disrupting these kinds of assumptions.

Manufacturers today care about integrated digital and physical systems, improved visibility, increased efficiency, additional flexibility, and lower costs. They want to connect equipment and factories, leveraging data from the factory floor to the customer call center to improve every aspect of their operations.

But this is just the beginning. Digitization is fundamentally changing the way manufacturers do business, enabling a customer-centric approach while optimizing operations. Digitally empowered manufacturers engage customers throughout the product lifecycle from design to field service. They sell value-add services to complement the product sales, opening new revenue streams and strengthening their customer relationships. And they are revolutionizing delivery of these differentiated services, using technology like augmented reality to combine the eyes of a technician in the field with the insights of an expert back at headquarters.

Capitalizing on these trends isn’t limited to large, well-resourced manufacturers. Across all kinds of manufacturing operations, the opportunity to digitize and transform your business has never been more accessible.

Imagine your business transformed

The Microsoft vision for supporting digital manufacturing embraces the seismic shifts in the industry today. We’ve created solutions that provide a unified and flexible approach across front office and production floor processes. Our approach enables transformation in six ways:

 

Optimize supply chain operations through better visibility and collaboration

By collecting, integrating, and visualizing global supply chain data worldwide, manufacturers gain better visibility into their operations from production to sales. For example, one of the world’s largest industrial automation firms found that by automating the collection and analysis of data from remote installations across the petroleum supply chain, they strengthened their competitive advantage with a faster time to market. Improved access to supply chain data is also the basis for better collaboration across production, supply, service, and sales. 

Streamline the management of assets, products, and production

With a consolidated view that unifies process oversight and provides real-time insight, manufacturers can institutionalize efficiency gains and use connected devices to monitor and resolve issues remotely. One leading manufacturer of industrial robots enabled 24-hour continuous uptime using this approach. The additional insights into production and customer usage also allow manufacturers to provide value-added services like ongoing monitoring and proactive support.

Engage customers in powerful new ways

To deliver personalized and contextual engagement across any channel, manufacturers must provide customers with more visibility and build trust through fast and convenient responses. This engagement approach is built on a combination of predictive analytics, the ability  to deliver value-added services at scale, and guided or self-directed service that’s relevant to customer needs. With the implementation of a connected platform for sales through service, a leading home technology manufacturer not only solved potential problems remotely before customers ever felt the impact, but provided custom differentiated offerings based on unique customer usage and purchasing history.

 Transform service centers into profit centers

Thanks to the ever-decreasing cost of IoT sensors, sophisticated mobile devices, and cloud-based data aggregation, manufacturers can improve service quality and margins by offering remote monitoring and proactive maintenance services that supplement break/fix support. By more intelligently coordinating technicians equipped with mobile and virtual reality tools, companies can leverage existing expertise and minimize costly engagements. A leading tire service and manufacturing company found that by combining customer records, technician availability, and back-end inventory in a single mobile-friendly system, it could provide a seamless user experience as well as improve its service delivery.

 

understand their business more deeply, from customer usage through supply chain sourcing and production. With IoT-enabled parts, assets, and products, manufacturers can gain the insights needed to innovate. Data from connected products and equipment can empower developers, engineers, and technicians to collaborate. For example, teams can identify overengineered or faulty components and track product usage in the field to improve future designs. When a leading information and communication technology company implemented remote monitoring, they decreased time to production as well as accelerated the cycle of innovation using a data-driven approach.

Empower employees to work more effectively

When a company can provide 360-degree views of customer assets and work order history, technicians are empowered by a better understanding of not only the job in front of them, but of other similar and successful field service engagements. This goes hand in hand with empowering service agents to provide instant feedback, using machine learning to find and follow similar cases for successful troubleshooting, and scheduling a visit or evaluation. A leading auto manufacturer wanted to save money by unifying their siloed customer service and customer engagement while providing employees with better tools to understand customer sentiment. To accomplish this, it implemented a system to connect production and project management with their customer relationship management systems in order to deliver personalized service and recommendations to their customers. 

Introducing Microsoft Dynamics 365

For manufacturers, Microsoft Dynamics 365 ends the artificial divide between CRM and ERP systems and supplements necessary capabilities with rich analytics, embedded intelligence, and the convenience people expect from consumer apps on their phone or tablet. Dynamics 365 unites the front office and the back office with a single end-to-end system for managing every aspect of your business, at the pace and scale that’s right for you. Digital transformation isn’t accomplished overnight and leveraging current investments is a key component of any successful approach. With Microsoft, you can optimize across all your processes while laying the foundation for connecting advanced technology in the future.

 

Blog reference: https://cloudblogs.microsoft.com/dynamics365/bdm/2017/05/30/manufacturing-transformed-microsoft-dynamics-365
Uncategorized

COVID-19 Solutions: An approach towards tackling the situation with AI

The COVID-19 outbreak has challenged the whole world, specifically targeting the health, cleanliness and the economic aspect of our daily lives. Research is in progress in many parts of the world at its best pace, to defeat the virus and help bring back our carefree living conditions. The virus is teaching the world, directing each of our working world around the essential and the optional part of our daily lives. We too have learned our part of the lesson, and have started working towards the development of essential services that can help through and beyond our fight against such diseases.

Understanding the situation

During our long lockdown, we have understood that work cannot be paused for long, as without it, there is no future. However, given the current situation it seems easy to understand that certain amendments in our working lifestyle are a must, because mistakes and carelessness can cost lives in these times. Some generally advised amendments are:

  • Wearing a mask, in public areas can help reduce the spread, as well as it can help prevent one from such a virus.
  • Social Distancing, in public areas can reduce the spread.
  • Washing hands more often with soap and sanitisation using spirit based sanitizers.
  • Changing our habit of touching our face more often.

Face Mask Detection Systems using Vision AI

We have leveraged our AI capabilities to provide surveillance cameras the ability to automatically generate alerts if any person is found not wearing a mask. This transforms your regular CCTV camera setup into an automated check for people following the norms and rules set up and defined to help continue the work. Also, it will help generate the reports regarding the violators to security and concerned personnel to immediately make corrective actions at earliest. We are also working on ideas to help recognize the violators and directly notify them to further reduce the time taken to correct the situation.

Social Distancing using Vision AI

We have also been working on utilizing the same installed cameras to identify if social distancing rules set by the organization in authority, are being followed. Using AI to again identify the distances between people and again, generating alerts for the same to rectify the violators. The reports and dashboarding will automatically provide the details of all such activities.

Uncategorized

How to get ready for the rise of mobile payments in retail

The retail payment space is going through a sea change, and the Starbucks mobile payments app is a shining example of that. Despite being specific to one retailer, in 2018 the app held the title of top mobile payment app in the US. During that year, 23.4 million people aged 14 and above used the app to make a POS purchase at least once every six months, according to estimates from market research firm eMarketer. Even though in 2019 it was finally overtaken by Apple Pay, which racked up an estimated 30.3 million users compared to Starbucks’ 25.2 million, the widespread adoption of the Starbucks app shows that  retailers can get true value out of mobile payments.

Key to Starbucks’ success has been its ability to combine convenience, ease and reward in the payments experience. Its Mobile Order and Pay functionality lets users order ahead of time and skip queues. The app is also integrated with the Starbucks Rewards loyalty program, allowing customers to automatically earn points (called Stars) and start earning free drinks and food. Customers can even add a tip to purchases. The value of using this app to pay is clear and simple: you can save time and money at the till, and access rewards and special offers at the same time.

Stores upgrade their payments options

Over the last few years cash has been losing its market share to electronic payments methods, which give consumers a faster, more secure and convenient experience when shopping both in store and online.

As consumer preferences move away from traditional payment methods towards mobile checkout technologies such as Apple and Android Pay, contactless card payments and direct bank transfers, retailers must be prepared to accept these new methods.

In the US, it’s estimated that around 70% of retail stores are now equipped to accept Apple Pay and similar mobile payments apps. As more credit card companies and banks shift to chip-based cards, retailers are forced to upgrade their checkout systems and. Those who think ahead are opting for readers that can also accept payments from smartphones using near-field communication (NFC) technology. Invest in contactless payment options

Millions of consumers now have contactless-enabled cards in their wallets and mobile payment apps on their phones. This tap-and-go technology is fast becoming the norm for customers – and therefore something they expect when making a purchase. Contactless transactions are particularly popular for smaller ticket purchases in convenience stores and supermarkets, and now frequently replace cash. This kind of technology also offers many benefits to retailers, including decreased checkout times, increased card use and an improved consumer payments experience.

Combine convenience and rewards

While contactless payments are an in-store essential, retailers must also consider a holistic payments strategy across all channels to ensure they’re meeting their customers’ expectations and delivering a seamless experience. That means embracing tools and technologies that harness consumer trends around cashless payments and connect both the digital and physical, enabling customers to order ahead and pay in advance, pick up reward program points regardless of the channel they shop via, and take advantage of new “buy now, pay later” options such as Klarna and Laybuy. Being able to offer a wide variety of payment options will be critical as retailers look to build their presence in an increasingly digital marketplace that is characterized by convenience and speed.

Explore digital wallet providers

While businesses like Starbucks decided to build their own mobile app, most retailers do not need to go down this route. That’s because digital wallet providers like Apple Pay and Google Pay are already designed to make setting up mobile payments fast and affordable.

Today, there are dozens of digital wallet payment providers for retailers – and consumers – to choose from. It’s worth talking with your existing payment provider to understand what options they have available as you develop your own mobile payments and digital wallets strategy.

Be open to payments innovation

As payment solutions are transforming from purely transactional to more customer oriented, the friction of payments will continue to fade with further innovations coming to market.

Invisible payments, for example, offer consumers ultimate convenience and completely automated payment options. Although they’re still in their infancy in the retail space, they’re being driven by businesses like ride-sharing app Uber, which automatically collects payment once a customer has reached their destination. Innovative retailers such as Amazon and Dutch supermarket brand Albert Heijn are already trialing invisible payments in stores with success. These shopping concepts allow customers to simply pick up or scan the products they want and leave without having to check out. Instead, payment is automatically deducted from their account.

“Connected cars, automatic replenishment via internet of things devices, and increasingly friction-free checkout experiences at the physical point of sale are just a few of the practical applications of invisible payments,” Worldpay’s Global Payment Trends report said.

As retailers plan for the future, then, it is in their best interests to be aware of the latest payments innovations and to consider how they will play out in their industry.

Uncategorized

Maintain business continuity with Dynamics 365 Field Service

In today’s dynamic business climate, field service teams are still expected to maintain infrastructure and customer equipment, often with fewer onsite technicians and limited face-to-face interaction with customers. That means adjusting one’s field service model to continue providing proactive service—sending in the right people and tools at the right time—while being prepared with the processes and technology to do more with less from the field.

Microsoft Dynamics 365 Field Service and Microsoft Dynamics 365 Remote Assist can help organizations provide proactive service at the speed, volume, and quality customers expect, while reducing latency and cost burdens of onsite service. To drive these key business outcomes, we’ve invested in the following areas for the 2020 release wave 1:

  • Increasing technician success by enabling field service inspections, technician time tracking capabilities, and Dynamics 365 Remote Assist
  • AI-infused insights to improve incident categorization and connected IoT capabilities
  • Enhanced proactive service delivery with tighter integration between Field Service and Microsoft Power Automate, Microsoft Dynamics 365 Supply Chain Management, and Intune for Field Service Mobile
  • Optimized resource scheduling with the new, next generation scheduling board

Increasing technician success

We know that for onsite visits, enabling technicians to achieve a first-time fix is the ultimate goal, while also leveraging the technician’s valuable onsite time to drive increased proactive customer service. To that end, we’ve added the following capabilities:

  • Now in preview, the new Inspections feature allows technicians to analyze and capture essential data while performing Field Service inspections, which can better assure quality, safety, and end-customer visibility.
  • Enhanced the technician’s ability to track their time in both automated and manual ways, directly within Field Service rather than in separate applications. In addition to the ability to track time, we’ve enhanced it with time capture precision to ensure the most granular data is available to derive the insights that can help to ensure better scheduling and utilization.
  • We have updated Dynamics 365 Remote Assist with enhanced data capture and sharing. When technicians use a Microsoft HoloLens headset when performing inspections or fixing equipment, they can record and share the session with experts located elsewhere, enhancing real-time team collaboration with the ability to review onsite work, helping to improve quality of service and first-time fix rates.

Technicians can now share files with experts who are helping them with their site visit

These new Field Service and Remote Assist features help ensure technician success and optimize resource utilization, creating confidence in an uncertain business landscape.

AI-infused insights

We’re enhancing Field Service with AI to help technicians properly categorize incidents, which leads to improved business metrics like parts inventory and availability, technician scheduling, and increased first-time fix rates—driving down the overall cost of service for customers.

Device telemetry and service maintenance data helps to make intelligent decisions around dispatching technicians, however analyzing and prioritizing IoT alerts can be challenging. To address this, we’ve enhanced IoT alerting in several ways to increase proactive service delivery.

  • Using AI-generated suggestions (preview) based on the past service history data, organizations can easily identify which IoT alerts are most important and can drive the biggest impact to increased proactive service delivery through connected field service.

AI-generated suggestions (preview) can help organizations identify which IoT alerts are the most important

  • We’ve also added time series insights and a summary of the measures for the alert making it quick and easy to view and analyze the service history and take action.

AI generated suggestions are based on past service history data

Enhancing proactive service delivery

Improving proactive service with remote delivery helps to increase customer satisfaction and reduce overall service costs. We’re enhancing proactive service delivery with tighter integration between Field Service and several enabling Microsoft technologies, including:

  • Integration with Power Automate (preview) to expand the automation workflow capabilities to the massive library of connectors and robust logic building user experience.
  • Aligning asset management capabilities and integration with Dynamics 365 Supply Chain Management to complete the field service workflow scenarios, end to end, all in Microsoft Dynamics 365.
  • Intune for Field Service Mobile to enable IT organizations to easily manage the Field Service Mobile app.

Optimizing resource scheduling

Resource Scheduling Optimization (RSO) automatically schedules jobs to the people, equipment, and facilities best equipped to complete them. Updates include:

  • new, next generation schedule board (preview) and resource management features to help service teams more quickly and efficiently manage technicians at all stages of the service journey. The new schedule board has a modern user experience with greatly improved performance and a fluid drag and drop functionality.
  • A simplified and improved experience for managing technician work hours and time off, including a Microsoft Power Apps control that lets customers modify technician time through even more simplified app experiences. In addition, we’ve added requirement dependencies to schedule work orders in sequence increasing first-time fix rates and technician and customer satisfaction.

The new schedule board has a modern user experience with greatly improved performance and fluid drag and drop functionality

  • new dashboard for managers and dispatchers to surface insights that can help them monitor utilization and identify optimizations for time utilization.

A new dashboard for managers and dispatchers helps them monitor utilization and identify optimizations for time utilization

Delivering more agile, simplified, and proactive field service

Siemens Smart Infrastructure intelligently connects energy systems, buildings, and industries to adapt and evolve the way people live and work, helping companies make buildings safe, comfortable, energy-efficient, and economical. Siemens is deploying Dynamics 365 Field Service to support more than 12,000 employees—including 7,500 service technicians—with the tools, processes, and agility they need to quickly and proactively handle customer issues and ensure smooth communication. Now, by taking advantage of capabilities such as proactive service delivery, resource scheduling, AI-infused insights, and more, Siemens is empowered to be more nimble and able to react to disruptive changes while continuing to provide high quality service to their customers. To learn more about the Siemens journey, read the customer story.

Like Siemens, Microsoft can help you and your service teams continue to meet ongoing demand for service despite new challenges. Explore the resources below to learn how Dynamics 365 Field Service and  Dynamics 365 Remote Assist help ensure your ongoing success so you and your team continue to flourish long after this crisis.

You can contact Trident Information Systems for Demo of Dynamics 365 for Fields Services

Blog Source : https://cloudblogs.microsoft.com/dynamics365/bdm/2020/04/28/maintain-business-continuity-with-dynamics-365-field-service/
Uncategorized

Cloud Kitchen Concept : Why Should you invest in Cloud Kitchen Business

About Cloud Kitchen Concept & Business Model

Taking the scenario of online food industry, the introduction of cloud kitchens has boosted the online food ordering system. The word ‘Cloud Kitchen’ may sound new to you, but technology has evolved so rapidly that the Cloud Kitchen sector has become the most profitable based on the initial capital requirements, ROI, etc. We are offering Cloud Kitchen software to manage cloud kitchen operations effectively.

Cloud Kitchen business model  

A Cloud Kitchen is primarily a restaurant kitchen that runs on its own or in a hub & spoke system. The main base or portal is primarily for taking online orders from various online food ordering sites and delivering them to the door. The concept of cloud kitchens has brought technological advancement and the opportunity to order food right from our fingertips.

Functionality of cloud kitchen 

The Cloud Kitchen operates in a hub & spoke configuration as you can see from the image above. The key goal of the center is to accept online orders and deliver them to the customer from the nearest spoke. A spoke here is the base kitchen of the center where orders are routed and food is supplied from the nearest spoke kitchen.

How Cloud Kitchen work 

As previously explained about Cloud Kitchen, a cloud kitchen works in a number of ways. Cloud kitchens may have their own order by setting up a website for their customer to place an order or an app to do the same.
By registering with online food portals to accept orders such as Swiggy, Zomato, FoodPanda, Uber Eats, they will cover a quarter of customers and the other half of customers.

Why you should invest in cloud kitchen 

If we think about Cloud Kitchens, there are a lot of reasons to open. A recent study from Limetray found that entrepreneurs would like to open a Cloud Kitchen over a dining-in restaurant as their next outlet. So, let me share some of the advantages of opening a cloud kitchen business.

Scalability: Restaurant business model is the sort where, if a restaurant is going to boom in sales, immediate investment must be made to open a lot of franchises or improvisational outlets. In the same way, classic dining-in restaurants will take advantage of the cloud kitchen model to check their restaurant in new areas and demographics to get a answer from the end customer without spending a lot of money on investment.

Exclusivity: If you consume media from the internet, just like Netflix originals & Amazon prime exclusives, the Cloud Kitchen business model gives you the opportunity to offer end-user exclusivity and create unique ideas that keep food buds engaged rather than the same old food recipes.

Lower spending: the cloud kitchen model has much lower company expenditure and operating costs. Even, compared to classic dining at the restaurant location, there is no issue here that the cost is also that. There is also no major expenditure in ambience, signs, waiters, tables and chairs, etc.

Competitive pricing: Now that we don’t need the requisite investments listed above, Cloud Kitchens can spend their key financial capital by creating new dishes, new menu items, different pricing and, most importantly, by growing their digital presence online.

So if you are looking to manage cloud kitchen operations then Trident is offering cloud kitchen technology solution, you can contact with out consultant here

Uncategorized

Reduce supply chain disruptions with AI, IoT, and mixed reality

Disruptions in global supply chains have significantly increased over the last decade, fueled by a myriad of triggers ranging from trade wars, demand surges from social marketing, natural disasters, and most recently, the recent COVID-19 pandemic.

Updates to Microsoft Dynamics 365 Supply Chain Management in the 2020 release wave 1 help organizations proactively transform every aspect of manufacturing and supply chain operations to reduce disruptions. These new and updated capabilities drive automation and reduce downtime using IoT and mixed reality, and provide the agility to re-plan production in real time to dynamically changing demand. In fact, the agility enabled by Supply Chain Management is currently being leveraged by a consortium of major UK industrial, technology, and engineering businesses from across the aerospace, automotive, and medical sectors that has come together to produce medical ventilators for the NHS.

Reducing the risk of supply chain disruptions

As the threat of disruptions increase, companies are pressured to ask if the supply chain is ready for the next event, pushing them to build a more resilient supply chain to ensure business continuity for them and their customers in the most cost-effective manner. More companies will start buffering for risks and move from a “Just-in time” mentality to a “Just-in case” mentality. Factories will need to transform rapidly to adapt to change, serving a wider range of products produced in smaller batches with lower set up time, faster throughput, and the ability to quickly respond to fluctuating demand and customer expectations. Companies are likely to move from single supplier to multi-supplier and single location to multi-location models for mission critical parts even if it is cost prohibitive in order to reduce the impact of supply chain disruptions.

To reach this optimal state of agility and delivery speed, manufacturers need to adapt every aspect of the supply chain to enable tools, equipment, and people to become instrumented, interconnected, and intelligent—a state of persistent adaptive learning and optimization as more data is available to tighten links between manufacturers, suppliers, and customers.

The latest release from Dynamics 365 Supply Chain Management enables customers to reach this optimal state by proactively transforming their manufacturing and supply chain with predictive insights and intelligence from AI, IoT, and mixed reality—across planning, production, inventory, warehouse, and transportation management—to maximize operational efficiency, product quality, and profitability.

Train workers faster with integrated mixed reality learning experiences

Dynamics 365 Supply Chain Management is now integrated with Dynamics 365 Guides to help mainstream mixed reality for manufacturing. Companies can deliver a faster ROI by getting the workforce trained sooner with fewer trainers and with an interactive learning experience. Workforce efficiency can skyrocket with step-by-step instructions that guide employees to the tools and parts they need and how to use them in real work situations, available at a glance on a Microsoft HoloLens device that keeps their hands free to do the work.

Dynamics 365 Guides can not only eliminate costly errors in production but also improve workforce safety. Companies can significantly reduce asset downtime by making asset maintenance skillset-agnostic and avoid costly waiting time for a specific expert to perform maintenance on an asset. The guides are extremely easy to author and do not require any coding. A guide can be authored by simply writing the step-by-step instructions on a PC followed by picking and placing the holographic parts and inbuilt icons on the machine where the work is happening.

Learn how to use Dynamics 365 Guides
Introducing Dynamics 365 Guides for HoloLens 2

Dispatch the right resources at the right time

Dynamics 365 Supply Chain Management is now integrated with Microsoft Dynamics 365 Field Service. Customers can significantly reduce downtime of geographically dispersed mission critical assets by automating field service operations so that the right resources—workforce, machines, parts, and tools—are available at the right place, at the right time, to proactively maintain them.

Companies can improve the overall equipment effectiveness (OEE) of their geographically dispersed mission critical assets by performing predictive maintenance based on real-time performance data from IoT and field data from Dynamics 365 Field Service. Traditionally, disparate systems hinder the ability to accurately forecast demand for critical and expensive parts frequently used in both service and new production. Due to lack of forecasting for service demand, companies constantly take parts from production to fulfill the service demand, and vice versa, to deliver good customer service. This often creates a shortage for new production and significantly impacts on time delivery to new customers. As a result, the company is unable to deliver a delightful customer experience on both fronts. This integration will eliminate the need for disparate systems and significantly improve the forecast accuracy of these mission-critical parts due to real time tracking in the service supply chain.

Seamlessly integrate IoT capabilities

Dynamics 365 Supply Chain Management now offers out-of-the-box IoT capabilities that leverage Microsoft Azure IoT Hub to connect signals from mission-critical assets with business transaction data. Manufacturers can improve uptime, throughput, and quality by proactively managing shop floor and equipment operations with a real-time view of their entire production and stock. This will significantly reduce costly downtime of business-critical equipment by performing predictive maintenance before disruptive failures occur. There is no coding required to implement these out-of-the-box IoT scenarios on your manufacturing floor today.

Learn more on how Majan is using Dynamics 365 Supply Chain Management
Dynamics 365 Supply Chain Management and IoT Intelligence customer spotlight with Majans

Improve on-time delivery with real-time production planning

The Planning Optimization Add-in for Dynamics 365 Supply Chain Management enables companies to improve on-time delivery by performing production planning in real time, accounting for dynamically changing customer demand, material availability, and capacity constraints across multiple sites and warehouses. It also enables customers to improve inventory turns by right-sizing inventory levels based on dynamically changing customer demand and capacity constraints. This helps eliminate excess and reduces slow moving inventory. Planning Optimization Add-in for Retail and Distribution is available and Production planning is currently in preview.

Translate »